Run
61462

Run 61462

Task 1715 (Learning Curve) mfeat-karhunen Uploaded 16-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_BFTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1
weka.MultiBoostAB_BFTree(2)_C3
weka.MultiBoostAB_BFTree(2)_P100
weka.MultiBoostAB_BFTree(2)_S1
weka.MultiBoostAB_BFTree(2)_I10
weka.MultiBoostAB_BFTree(2)_Wweka.classifiers.trees.BFTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9937 ± 0.0034
Per class
Build CPU time
2.4899
Build memory
1712591497.1636
F measure
0.9175 ± 0.0202
Per class
Kappa
0.9083 ± 0.0229
KB relative information score
0.9205 ± 0.0214
Mean absolute error
0.0168 ± 0.0041
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9178 ± 0.019
Per class
Predictive accuracy
0.9175 ± 0.0206
Prior entropy
3.3219
Recall
0.9175 ± 0.0206
Per class
Relative absolute error
0.0936 ± 0.0227
Root mean prior squared error
0.3
Root mean squared error
0.1152 ± 0.0165
Root relative squared error
0.3841 ± 0.055
SciMark benchmark
1592.7924